-
Chamis, A.Y.: Vocabulary control and search strategies in online searching (1991)
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- Abstract
- Based on the author's 1984 dissertation, this technical and detailed volume looks at problems related to control of terms used in searching among a variety of databases
- COMPASS
- Information retrieval
Information retrieval / Use of / On-line computers
- Footnote
- Rez. in: Computers in libraries 12(1992) no.2, S.46-47; Library quarterly 62(1992) no.3, S.347-349 (R. Fidel)
- Subject
- Information retrieval
Information retrieval / Use of / On-line computers
-
Croft, W.B.: Advances in information retrieval : Recent research from the Center for Intelligent Information Retrieval (2000)
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- Content
- Enthält die Beiträge: CROFT, W.B.: Combining approaches to information retrieval; GREIFF, W.R.: The use of exploratory data analysis in information retrieval research; PONTE, J.M.: Language models for relevance feedback; PAPKA, R. u. J. ALLAN: Topic detection and tracking: event clustering as a basis for first story detection; CALLAN, J.: Distributed information retrieval; XU, J. u. W.B. CROFT: Topic-based language models for ditributed retrieval; LU, Z. u. K.S. McKINLEY: The effect of collection organization and query locality on information retrieval system performance; BALLESTEROS, L.A.: Cross-language retrieval via transitive translation; SANDERSON, M. u. D. LAWRIE: Building, testing, and applying concept hierarchies; RAVELA, S. u. C. LUO: Appearance-based global similarity retrieval of images
- Footnote
- Information retrieval - Relevanz - Information Retrieval Systeme - Verteilte Systeme - Multimedia - Bildverarbeitung
- LCSH
- Information retrieval
- Series
- The Kluwer international series on information retrieval; 7
- Subject
- Information retrieval
-
Aluri, R.D.; Kemp, A.; Boll, J.J.: Subject analysis in online catalogs (1991)
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- LCSH
- Catalogs, On / line / Subject access
Information retrieval
- Subject
- Catalogs, On / line / Subject access
Information retrieval
- Theme
- Klassifikationssysteme im Online-Retrieval
Verbale Doksprachen im Online-Retrieval
-
Lalmas, M.: XML retrieval (2009)
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- Abstract
- Documents usually have a content and a structure. The content refers to the text of the document, whereas the structure refers to how a document is logically organized. An increasingly common way to encode the structure is through the use of a mark-up language. Nowadays, the most widely used mark-up language for representing structure is the eXtensible Mark-up Language (XML). XML can be used to provide a focused access to documents, i.e. returning XML elements, such as sections and paragraphs, instead of whole documents in response to a query. Such focused strategies are of particular benefit for information repositories containing long documents, or documents covering a wide variety of topics, where users are directed to the most relevant content within a document. The increased adoption of XML to represent a document structure requires the development of tools to effectively access documents marked-up in XML. This book provides a detailed description of query languages, indexing strategies, ranking algorithms, presentation scenarios developed to access XML documents. Major advances in XML retrieval were seen from 2002 as a result of INEX, the Initiative for Evaluation of XML Retrieval. INEX, also described in this book, provided test sets for evaluating XML retrieval effectiveness. Many of the developments and results described in this book were investigated within INEX.
- Content
- Table of Contents: Introduction / Basic XML Concepts / Historical Perspectives / Query Languages / Indexing Strategies / Ranking Strategies / Presentation Strategies / Evaluating XML Retrieval Effectiveness / Conclusions
- LCSH
- Information retrieval
- Series
- Synthesis lectures on information concepts, retrieval & services; 7
- Subject
- Information retrieval
-
Anderson, J.D.; Perez-Carballo, J.: Information retrieval design : principles and options for information description, organization, display, and access in information retrieval databases, digital libraries, catalogs, and indexes (2005)
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- Content
- Inhalt: Chapters 2 to 5: Scopes, Domains, and Display Media (pp. 47-102) Chapters 6 to 8: Documents, Analysis, and Indexing (pp. 103-176) Chapters 9 to 10: Exhaustivity and Specificity (pp. 177-196) Chapters 11 to 13: Displayed/Nondisplayed Indexes, Syntax, and Vocabulary Management (pp. 197-364) Chapters 14 to 16: Surrogation, Locators, and Surrogate Displays (pp. 365-390) Chapters 17 and 18: Arrangement and Size of Displayed Indexes (pp. 391-446) Chapters 19 to 21: Search Interface, Record Format, and Full-Text Display (pp. 447-536) Chapter 22: Implementation and Evaluation (pp. 537-541)
- Footnote
- Rez. in JASIST 57(2006) no.10, S.1412-1413 (R. W. White): "Information Retrieval Design is a textbook that aims to foster the intelligent user-centered design of databases for Information Retrieval (IR). The book outlines a comprehensive set of 20 factors. chosen based on prior research and the authors' experiences. that need to he considered during the design process. The authors provide designers with information on those factors to help optimize decision making. The book does not cover user-needs assessment, implementation of IR databases, or retries al systems, testing. or evaluation. Most textbooks in IR do not offer a substantive walkthrough of the design factors that need to be considered Mien des eloping IR databases. Instead. they focus on issues such as the implementation of data structures, the explanation of search algorithms, and the role of human-machine interaction in the search process. The book touches on all three, but its focus is on designing databases that can be searched effectively. not the tools to search them. This is an important distinction: despite its title. this book does not describe how to build retrieval systems. Professor Anderson utilizes his wealth of experience in cataloging and classification to bring a unique perspective on IR database design that may be useful for novices. for developers seeking to make sense of the design process, and for students as a text to supplement classroom tuition. The foreword and preface. by Jessica Milstead and James Anderson. respectively, are engaging and worthwhile reading. It is astounding that it has taken some 20 years for anyone to continue the stork of Milstead and write as extensively as Anderson does about such an important issue as IR database design. The remainder of the book is divided into two parts: Introduction and Background Issues and Design Decisions. Part 1 is a reasonable introduction and includes a glossary of the terminology that authors use in the book. It is very helpful to have these definitions early on. but the subject descriptors in the right margin are distracting and do not serve their purpose as access points to the text. The terminology is useful to have. as the authors definitions of concepts do not lit exactly with what is traditionally accepted in IR. For example. they use the term 'message' to icier to what would normally be called .'document" or "information object." and do not do a good job at distinguishing between "messages" and "documentary units". Part 2 describes components and attributes of 1R databases to help designers make design choices. The book provides them with information about the potential ramifications of their decisions and advocates a user-oriented approach to making them. Chapters are arranged in a seemingly sensible order based around these factors. and the authors remind us of the importance of integrating them. The authors are skilled at selecting the important factors in the development of seemingly complex entities, such as IR databases: how es er. the integration of these factors. or the interaction between them. is not handled as well as perhaps should be. Factors are presented in the order in which the authors feel then should be addressed. but there is no chapter describing how the factors interact. The authors miss an opportunity at the beginning of Part 2 where they could illustrate using a figure the interactions between the 20 factors they list in a way that is not possible with the linear structure of the book.
. . . Those interested in using the book to design IR databases can work through the chapters in the order provided and end up with a set of requirements for database design. The steps outlined in this book can be rearranged in numerous orders depending on the particular circumstances. This book would benefit from a discussion of what orders are appropriate for different circumstances and bow the requirements outlined interact. I come away from Information Retrieval Design with mixed, although mainly positive feelings. Even though the aims of this book are made clear from the outset, it was still a disappointment to see issues such as implementation and evaluation covered in only a cursory manner. The book is very well structured. well written, and operates in a part of the space that bas been neglected for too long. The authors whet my appetite with discussion of design, and I would have liked to have heard a bit more about what happens in requirements' elicitation before the design issues base been identified and to impIementation after they have been addressed. Overall, the book is a comprehensive review of previous research supplemented by the authors' views on IR design. This book focuses on breadth of coverage rather than depth of coverage and is therefore potentially of more use to novices in the field. The writing style is clear, and the authors knowledge of the subject area is undoubted. I wouId recommend this book to anyone who wants to learn about IR database design and take advantage of the experience and insights of Anderson, one of tile visionaries it the field."
- LCSH
- Information retrieval
Information storage and retrieval systems / Design.
- Subject
- Information retrieval
Information storage and retrieval systems / Design.
-
Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008)
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- Abstract
- This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection
- Content
- Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].
- LCSH
- Information storage and retrieval systems
Information retrieval
- RSWK
- Information Retrieval / World Wide Web / Suchmaschine
- Subject
- Information storage and retrieval systems
Information retrieval
Information Retrieval / World Wide Web / Suchmaschine
-
Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010)
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- Abstract
- For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine
- LCSH
- Information retrieval
Information Storage and Retrieval
- RSWK
- Suchmaschine / Information Retrieval
- Subject
- Suchmaschine / Information Retrieval
Information retrieval
Information Storage and Retrieval
-
O'Connor, B.C.; Kearns, J.; Anderson, R.L.: Doing things with information : beyond indexing and abstracting (2008)
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- Abstract
- The relationship between a person with a question and a source of information is complex. Indexing and abstracting often fail because too much emphasis is put on the mechanics of description, and too little has been given as to what ought to be represented. Research literature suggests that inappropriate representation results in failed searches a significant number of times, perhaps even in a majority of cases. "Doing Things with Information" seeks to rectify this unfortunate situation by emphasizing methods of modeling and constructing appropriate representations of such questions and documents. Students in programs of information studies will find focal points for discussion about system design and refinement of existing systems. Librarians, scholars, and those who work within large document collections, whether paper or electronic, will find insights into the strengths and weaknesses of the access systems they use.
- Content
- Inhalt: 1. Background concepts and models 2. Considerations of representation 3. Representation, function, and utility 4. Failures of representation: Indeterminacy and depth 5. Aboutness and user-generated descriptors 6. Responses to indeterminacy 7. Doing things with word-based documents 8. Functional application of information measurement 9. Functional ontology construction 10. Creek pebbles: A summary metaphor and touchstone for exploration
- Footnote
- The authors state that this book emerged from a proposal to do a second edition of Explorations in Indexing and Abstracting (O'Connor 1996); much of its content is the result of the authors' reaction to the reviews of this first edition and their realization for "the necessity to address some more fundamental questions". Rez. in: KO 38(2011) no.1, S.62-64 (L.F. Spiteri): "This book provides a good overview of the relationship between the document and the user; in this regard, it reinforces the importance of the clientcentred approach to the design of document representation systems. In the final chapter, the authors state: "We have offered examples of new ways to think about messages in all sorts of media and how they might be discovered, analyzed, synthesized, and generated. We brought together philosophical, scientific, and engineering notions into a fundamental model for just how we might understand doing this with information" (p. 225). The authors have certainly succeeded in highlighting the complex processes, nature, and implications of document representation systems, although, as has been seen, the novelty of some of their discussions and suggestions is sometimes limited. With further explanation, the FOC model may serve as a useful way to understand how to build document representation systems to better meet user needs."; vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_38_2011_1e.pdf.
- LCSH
- Information retrieval
Information storage and retrieval systems / Design
- RSWK
- Information-Retrieval-System
- Subject
- Information-Retrieval-System
Information retrieval
Information storage and retrieval systems / Design
-
Next generation search engines : advanced models for information retrieval (2012)
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- Abstract
- The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.
- Content
- Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.
- LCSH
- Information retrieval
Information retrieval / Research
Information storage and retrieval systems / Research
- Subject
- Information retrieval
Information retrieval / Research
Information storage and retrieval systems / Research
-
Ingwersen, P.: Information retrieval interaction (1992)
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- Abstract
- "Ingwersen defines IR interaction as the interactive communication processes that occur between the use, the intermediary (machine or human) and the IR system (text or database). The cognitive viewpoint takes into account the variety of states of knowledge associated with these major participants and thus allows a holistic treatment."
- COMPASS
- Information retrieval
- Footnote
- Rez. in: Library and information research news. 16(1993) no.56, S.26-27 (J. Palmer); Journal of documentation 50(1994) no.2, S.142-144 (P. Willett); Australian academic and research libraries 1993, Sept., S.239-240 (C. Wilson)
- Subject
- Information retrieval
-
Fidel, R: Human information interaction : an ecological approach to information behavior (2012)
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- Abstract
- Human information interaction (HII) is an emerging area of study that investigates how people interact with information; its subfield human information behavior (HIB) is a flourishing, active discipline. Yet despite their obvious relevance to the design of information systems, these research areas have had almost no impact on systems design. One issue may be the contextual complexity of human interaction with information; another may be the difficulty in translating real-life and unstructured HII complexity into formal, linear structures necessary for systems design. In this book, Raya Fidel proposes a research approach that bridges the study of human information interaction and the design of information systems: cognitive work analysis (CWA). Developed by Jens Rasmussen and his colleagues, CWA embraces complexity and provides a conceptual framework and analytical tools that can harness it to create design requirements. CWA offers an ecological approach to design, analyzing the forces in the environment that shape human interaction with information. Fidel reviews research in HIB, focusing on its contribution to systems design, and then presents the CWA framework. She shows that CWA, with its ecological approach, can be used to overcome design challenges and lead to the development of effective systems. Researchers and designers who use CWA can increase the diversity of their analytical tools, providing them with an alternative approach when they plan research and design projects. The CWA framework enables a collaboration between design and HII that can create information systems tailored to fit human lives. Human Information Interaction constructs an elegant argument for an ecological approach to information behavior. Professor Raya Fidel's cogent exposition of foundational theoretical concepts including cognitive work analysis delivers thoughtful guidance for future work in information interaction. Raya Fidel provides the human information interaction field with a manifesto for studying human information behavior from a holistic perspective, arguing that context dominates human action and we are obligated to study it. She provides a tutorial on cognitive work analysis as a technique for such study. This book is an important contribution to the Information field. Raya Fidel presents a nuanced picture of research on human information interaction, and advocates for Cognitive Work Analysis as the holistic approach to the study and evaluation of human information interaction.
- Content
- Inhalt: Basic concepts -- What is human information interaction? -- Theoretical constructs and models in information seeking behavior -- The information need -- The search strategy -- Two generations of research -- In-context -- Theoretical traditions in human information behavior -- Interlude : models and their contribution to design -- Human information behavior and information retrieval : is collaboration possible? -- Cognitive work analysis : dimensions for analysis -- Cognitive work analysis : harnessing complexity -- Enhancing the impact of research in human information interaction.
- LCSH
- Information storage and retrieval systems
Information retrieval
- RSWK
- Anthropologie / Information Retrieval / Informationsverhalten (BVB)
Informationsverhalten / Information Retrieval / Mensch-Maschine-Kommunikation
- Subject
- Anthropologie / Information Retrieval / Informationsverhalten (BVB)
Informationsverhalten / Information Retrieval / Mensch-Maschine-Kommunikation
Information storage and retrieval systems
Information retrieval
-
Cole, C.: Information need : a theory connecting information search to knowledge formation (2012)
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- Content
- Inhalt: The importance of information need -- The history of information need -- The framework for our discussion -- Modeling the user in information search -- Information seeking's conceptualization of information need during information search -- Information use -- Adaptation : internal information flows and knowledge generation -- A theory of information need -- How information need works -- The user's situation in the pre-focus search -- The situation of user's information need in pre-focus information search -- The selection concept -- A review of the user's pre-focus information search -- How information need works in a focusing search -- Circles 1 to 5 : how information need works -- Corroborating research -- Applying information need -- The astrolabe : an information system for stage 3 information exploration -- Conclusion.
- LCSH
- Information retrieval
Information storage and retrieval systems
Knowledge, Theory of
- RSWK
- Informationsverhalten / Information Retrieval / Informationstheorie
- Subject
- Informationsverhalten / Information Retrieval / Informationstheorie
Information retrieval
Information storage and retrieval systems
Knowledge, Theory of
-
Harpring, P.: Introduction to controlled vocabularies : terminology for art, architecture, and other cultural works (2010)
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- Abstract
- This is a practical tool and comprehensive introduction to the use of controlled vocabularies. This authoritative and detailed volume presents readers with a 'how-to' guide to building controlled vocabulary tools, cataloguing and indexing cultural materials with terms and names from controlled vocabularies, and how to use vocabularies in search engines and databases to enhance discovery and retrieval online. "Introduction to Controlled Vocabularies" also features in-depth discussions on a number of topics, including: What are controlled vocabularies and why are they useful? Which vocabularies exist for cataloguing art and cultural objects? and how should they be used for indexing and retrieving? This book provides organizations and individuals with a practical tool for creating and implementing vocabularies as reference tools, sources of documentation, and powerful enhancements for online searching.
- Content
- Controlled vocabularies in context -- What are controlled vocabularies? -- Relationships in controlled vocabularies -- Vocabularies for cultural objects -- Using multiple vocabularies -- Local authorities -- Constructing a vocabulary or authority -- Indexing with controlled vocabularies -- Retrieval using controlled vocabularies.
- LCSH
- Information retrieval
- RSWK
- Los Angeles <Calif.> / Getty Research Institute for the History of Art and the Humanities / Kunst / Terminologie / Thesaurus / Projekt / Geschichte 1980-2010 (BVB)
- Subject
- Los Angeles <Calif.> / Getty Research Institute for the History of Art and the Humanities / Kunst / Terminologie / Thesaurus / Projekt / Geschichte 1980-2010 (BVB)
Information retrieval
-
Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014)
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- Abstract
- This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.
- Content
- Introduction: envisioning semantic information spacesIndexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.
- Date
- 23. 7.2017 13:49:22
- LCSH
- Information retrieval
- RSWK
- Information Retrieval
- Subject
- Information retrieval
Information Retrieval
-
Lankes, R.D.: New concepts in digital reference (2009)
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- Abstract
- Let us start with a simple scenario: a man asks a woman "how high is Mount Everest?" The woman replies "29,029 feet." Nothing could be simpler. Now let us suppose that rather than standing in a room, or sitting on a bus, the man is at his desk and the woman is 300 miles away with the conversation taking place using e-mail. Still simple? Certainly--it happens every day. So why all the bother about digital (virtual, electronic, chat, etc.) reference? If the man is a pilot flying over Mount Everest, the answer matters. If you are a lawyer going to court, the identity of the woman is very important. Also, if you ever want to find the answer again, how that transaction took place matters a lot. Digital reference is a deceptively simple concept on its face: "the incorporation of human expertise into the information system." This lecture seeks to explore the question of how human expertise is incorporated into a variety of information systems, from libraries, to digital libraries, to information retrieval engines, to knowledge bases. What we learn through this endeavor, begun primarily in the library context, is that the models, methods, standards, and experiments in digital reference have wide applicability. We also catch a glimpse of an unfolding future in which ubiquitous computing makes the identification, interaction, and capture of expertise increasingly important. It is a future that is much more complex than we had anticipated. It is a future in which documents and artifacts are less important than the contexts of their creation and use.
- Content
- Table of Contents: Defining Reference in a Digital Age / Conversations / Digital Reference in Practice / Digital Reference an a New Future / Conclusion
- LCSH
- Information retrieval
- Series
- Synthesis lectures on information concepts, retrieval & services; 1
- Subject
- Information retrieval
-
Pang, B.; Lee, L.: Opinion mining and sentiment analysis (2008)
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- Abstract
- An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.
- Content
- Table of contents 1. Introduction 2. Applications 3. General Challenges 4. Classification and Extraction 5. Summarization 6. Broader Implications 7. Publicly Available Resources 8. Concluding Remarks References
- LCSH
- Information retrieval
- Series
- Foundations and trends(r) in information retrieval; 2,1/2
- Subject
- Information retrieval
-
¬The thesaurus: review, renaissance and revision (2004)
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- Content
- Enthält u.a. folgende Aussage von J. Aitchison u. S. Dextre Clarke: "We face a paradox. Ostensibly, the need and the opportunity to apply thesauri to information retrieval are greater than ever before. On the other hand, users resist most efforts to persuade them to apply one. The drive for interoperability of systems means we must design our vocabularies for easy integration into downstream applications such as content management systems, indexing/metatagging interfaces, search engines, and portals. Summarizing the search for vocabularies that work more intuitively, we see that there are trends working in opposite directions. In the hugely popular taxonomies an the one hand, relationships between terms are more loosely defined than in thesauri. In the ontologies that will support computer-to-computer communications in AI applications such as the Semantic Web, we see the need for much more precisely defined term relationships."
Enthält die Beiträge: Spiteri, L.F.: Word association testing and thesaurus construction: a pilot study. Aitchison, J., S.G. Dextre-Clarke: The Thesaurus: a historical viewpoint, with a look to the future. Thomas, A.R.: Teach yourself thesaurus: exercises, reading, resources. Shearer, J.R.: A practical exercise in building a thesaurus. Nielsen, M.L.: Thesaurus construction: key issues and selected readings. Riesland, M.A.: Tools of the trade: vocabulary management software. Will, L.: Thesaurus consultancy. Owens, L.A., P.A. Cochrane: Thesaurus evaluation. Greenberg, J.: User comprehension and application of information retrieval thesauri. Johnson, E.H.: Distributed thesaurus Web services. Thomas, A.R., S.K. Roe: An interview with Dr. Amy J. Warner. Landry, P.: Multilingual subject access: the linking approach of MACS.
- Footnote
- Rez. in: KO 32(2005) no.2, S.95-97 (A. Gilchrist):"It might be thought unfortunate that the word thesaurus is assonant with prehistoric beasts but as this book clearly demonstrates, the thesaurus is undergoing a notable revival, and we can remind ourselves that the word comes from the Greek thesaurus, meaning a treasury. This is a useful and timely source book, bringing together ten chapters, following an Editorial introduction and culminating in an interview with a member of the team responsible for revising the NISO Standard Guidelines for the construction, format and management of monolingual thesauri; formal proof of the thesaural renaissance. Though predominantly an American publication, it is good to see four English authors as well as one from Canada and one from Denmark; and with a good balance of academics and practitioners. This has helped to widen the net in the citing of useful references. While the techniques of thesaurus construction are still basically sound, the Editors, in their introduction, point out that the thesaurus, in its sense of an information retrieval tool is almost exactly 50 years old, and that the information environment of today is radically different. They claim three purposes for the compilation: "to acquaint or remind the Library and Information Science community of the history of the development of the thesaurus and standards for thesaurus construction. to provide bibliographies and tutorials from which any reader can become more grounded in her or his understanding of thesaurus construction, use and evaluation. to address topics related to thesauri but that are unique to the current digital environment, or network of networks." This last purpose, understandably, tends to be the slightly more tentative part of the book, but as Rosenfeld and Morville said in their book Information architecture for the World Wide Web "thesauri [will] become a key tool for dealing with the growing size and importance of web sites and intranets". The evidence supporting their belief has been growing steadily in the seven years since the first edition was published.
The didactic parts of the book are a collection of exercises, readings and resources constituting a "Teach yourself " chapter written by Alan Thomas, ending with the warning that "New challenges include how to devise multi-functional and usersensitive vocabularies, corporate taxonomies and ontologies, and how to apply the transformative technology to them." This is absolutely right, and there is a need for some good writing that would tackle these issues. Another chapter, by James Shearer, skilfully manages to compress a practical exercise in building a thesaurus into some twenty A5 size pages. The third chapter in this set, by Marianne Lykke Nielsen, contains extensive reviews of key issues and selected readings under eight headings from the concept of the thesaurus, through the various construction stages and ending with automatic construction techniques. . . . This is a useful and approachable book. It is a pity that the index is such a poor advertisement for vocabulary control and usefulness."
- LCSH
- Information retrieval
- RSWK
- Informations- und Dokumentationswissenschaft / Information Retrieval / Inhaltserschließung / Thesaurus (BVB)
- Subject
- Informations- und Dokumentationswissenschaft / Information Retrieval / Inhaltserschließung / Thesaurus (BVB)
Information retrieval
-
Blair, D.C.: Language and representation in information retrieval (1991)
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- Abstract
- Information or Document Retrieval is the subject of this book. It is not an introductory book, although it is self-contained in the sense that it is not necessary to have a background in the theory or practice of Information Retrieval in order to understand its arguments. The book presents, as clearly as possible, one particular perspective on Information Retrieval, and attempts to say that certain aspects of the theory or practice of the management of documents are more important than others. The majority of Information Retrieval research has been aimed at the more experimentally tractable small-scale systems, and although much of that work has added greatly to our understanding of Information Retrieval it is becoming increasingly apparent that retrieval systems with large data bases of documents are a fundamentally different genre of systems than small-scale systems. If this is so, which is the thesis of this book, then we must now study large information retrieval systems with the same rigor and intensity that we once studied small-scale systems. Hegel observed that the quantitative growth of any system caused qualitative changes to take place in its structure and processes.
- COMPASS
- Information retrieval
- LCSH
- Information Retrieval
- RSWK
- Information Retrieval
- Subject
- Information retrieval
Information Retrieval
Information Retrieval
- Theme
- Verbale Doksprachen im Online-Retrieval
-
Chu, H.: Information representation and retrieval in the digital age (2010)
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- Content
- Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
- LCSH
- Information retrieval
Information storage and retrieval systems
- Subject
- Information retrieval
Information storage and retrieval systems
-
Interactive information seeking, behaviour and retrieval (2011)
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- Abstract
- Information retrieval (IR) is a complex human activity supported by sophisticated systems. Information science has contributed much to the design and evaluation of previous generations of IR system development and to our general understanding of how such systems should be designed and yet, due to the increasing success and diversity of IR systems, many recent textbooks concentrate on IR systems themselves and ignore the human side of searching for information. This book is the first text to provide an information science perspective on IR. Unique in its scope, the book covers the whole spectrum of information retrieval, including: history and background information; behaviour and seeking task-based information; searching and retrieval approaches to investigating information; interaction and behaviour information; representation access models; evaluation interfaces for IR; interactive techniques; web retrieval, ranking and personalization; and, recommendation, collaboration and social search multimedia: interfaces and access. A key text for senior undergraduates and masters' level students of all information and library studies courses, this book is also useful for practising LIS professionals who need to better appreciate how IR systems are designed, implemented and evaluated.
- Content
- Enthält die Beiträge: Interactive information retrieval: history and background / Colleen Cool and Nicholas J. Belkin - Information behavior and seeking / Peiling Wang - Task-based information searching and retrieval / Elaine G. Toms - Approaches to investigating information interaction and behaviour / Raya Fidel - Information representation / Mark D. Smucker - Access models / Edie Rasmussen - Evaluation / Kalervo Järvelin - Interfaces for information retrieval / Max Wilson - Interactive techniques / Ryen W. White - Web retrieval, ranking and personalization / Jaime Teevan and Susan Dumais - Recommendation, collaboration and social search / David M. Nichols and Michael B. Twidale - Multimedia: behaviour, interfaces and interaction / Haiming Liu, Suzanne Little and Stefan Rüger - Multimedia: information representation and access / Suzanne Little, Evan Brown and Stefan Rüger
- LCSH
- Information retrieval
- RSWK
- Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung
- Subject
- Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung
Information retrieval
